mohamedr002 / AMDALinks
This is an implementation of single source multiple target domain adaptation for fault diagnosis
☆47Updated 3 years ago
Alternatives and similar repositories for AMDA
Users that are interested in AMDA are comparing it to the libraries listed below
Sorting:
- Transfer learning☆52Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 3 years ago
- ☆22Updated 2 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆84Updated 2 months ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆34Updated 3 years ago
- ☆45Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆125Updated 5 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆58Updated 3 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆14Updated 3 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- ☆25Updated 4 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆41Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆92Updated 3 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)